Standardizing and Comparing Management Recommendations for Potential Drug-Drug Interactions Across Different...

Area of Science:

• Pharmacology
• Clinical Pharmacy
• Health Informatics

Background:

• Potential drug-drug interactions (pDDIs) pose significant risks in clinical settings, particularly for elderly patients.
• Accurate identification and management of pDDIs are critical for ensuring patient safety.
• Current interaction checkers (ICs) used by prescribers may offer inconsistent recommendations, potentially impacting clinical decision-making.

Purpose of the Study:

• To develop a standardized method for classifying and prioritizing pDDIs based on clinical management relevance.
• To compare the categorization of pDDIs across various interaction checkers.

Main Methods:

• A structured, iterative process was used to create a scale classifying pDDIs into four management categories.
• The scale was based on management recommendations from six interaction checkers.
• The scale was applied to 218 real-world pDDIs from 1923 patients, with agreement assessed using Gwet's AC1 statistic.

Main Results:

• Overall agreement among interaction checkers was moderate (Gwet's AC1 = 0.44).
• Agreement improved when dichotomizing the scale into high/intermediate versus low priority (AC1 = 0.72).
• Classification agreement for high-priority pDDIs was also higher (AC1 = 0.62).

Conclusions:

• A systematic approach was developed and tested to compare pDDI management across interaction checkers.
• The study identified generally limited agreement between interaction checkers.
• Findings underscore the need for harmonized approaches to improve consistent, evidence-based pDDI management.